Lidar-derived estimates of forest structure in response to fire frequency

IF 3.6 3区 环境科学与生态学 Q1 ECOLOGY Fire Ecology Pub Date : 2024-05-07 DOI:10.1186/s42408-024-00279-7
C. Wade Ross, E. Louise Loudermilk, Joseph J. O’Brien, Steven A. Flanagan, Jennifer McDaniel, Doug P. Aubrey, Tripp Lowe, J. Kevin Hiers, Nicholas S. Skowronski
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Abstract

Longleaf pine (Pinus palustris) ecosystems are recognized as biodiversity hotspots, and their sustainability is tightly coupled to a complex nexus of feedbacks between fire, composition, and structure. While previous research has demonstrated that frequent fire is often associated with higher levels of biodiversity, relationships between fire frequency and forest structure are more nuanced because structure can be difficult to measure and characterize. We expanded on this body of research by using lidar to characterize vegetation structure in response to fire frequency at a long-term prescribed-fire experiment. We asked (1) how does prescribed fire frequency affect structure and (2) how do structural metrics vary in the strength of their relationships with fire frequency. Our results indicated that forest structure varied significantly in response to fire frequency, with more frequent fire reducing vegetation structural complexity. Metrics that characterized the central tendency of vegetation and/or the variance of canopy-related properties were weakly to moderately correlated with prescribed fire frequency, while metrics that captured the vertical dispersion or variability of vegetation throughout the forest strata were moderately to strongly correlated with fire frequency. Of all the metrics evaluated, the understory complexity index had the strongest correlation with fire frequency and explained 88% of the structural variation in response to prescribed fire treatments. The findings presented in this study highlight the usefulness of lidar technology for characterizing forest structure and that structural complexity cannot be fully characterized by a single metric. Instead, a range of diverse metrics is required to refine scientific understanding of the feedbacks between fire, composition, and structure in support of longleaf pine sustainability. Furthermore, there is a need for further research to broaden structural assessments beyond the overstory and incorporate more understory components, particularly within the realm of prescribed fire science and land management.
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通过激光雷达估算火灾频率对森林结构的影响
长叶松(Pinus palustris)生态系统是公认的生物多样性热点,其可持续性与火灾、组成和结构之间复杂的反馈密切相关。以往的研究表明,火灾频发往往与生物多样性水平较高有关,但火灾频发与森林结构之间的关系则更为微妙,因为森林结构可能难以测量和描述。我们利用激光雷达来描述植被结构对长期规定用火实验中的用火频率的响应,从而扩展了这一研究。我们的问题是:(1)规定用火频率对结构有何影响;(2)结构指标与用火频率的关系强度有何不同。我们的研究结果表明,森林结构随火灾频率的变化而显著不同,火灾频率越高,植被结构的复杂性越低。表征植被中心倾向和/或树冠相关特性差异的指标与火灾频率的相关性从弱到强,而表征森林各层植被垂直分散性或可变性的指标与火灾频率的相关性从强到弱。在所有评估指标中,林下复杂性指数与火灾频率的相关性最强,可解释 88% 的结构变化对处方火处理的响应。本研究的结果凸显了激光雷达技术在表征森林结构方面的实用性,以及结构复杂性无法通过单一指标完全表征。相反,需要一系列不同的指标来完善对火灾、组成和结构之间反馈的科学理解,以支持长叶松的可持续性。此外,还需要进一步开展研究,将结构评估的范围扩大到上层林木之外,并纳入更多的下层林木成分,特别是在规定用火科学和土地管理领域。
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来源期刊
Fire Ecology
Fire Ecology ECOLOGY-FORESTRY
CiteScore
6.20
自引率
7.80%
发文量
24
审稿时长
20 weeks
期刊介绍: Fire Ecology is the international scientific journal supported by the Association for Fire Ecology. Fire Ecology publishes peer-reviewed articles on all ecological and management aspects relating to wildland fire. We welcome submissions on topics that include a broad range of research on the ecological relationships of fire to its environment, including, but not limited to: Ecology (physical and biological fire effects, fire regimes, etc.) Social science (geography, sociology, anthropology, etc.) Fuel Fire science and modeling Planning and risk management Law and policy Fire management Inter- or cross-disciplinary fire-related topics Technology transfer products.
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